Machine Vision: Theory, Algorithms, Practicalities (Signal Processing and its Applications) (Hardcover)

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Review
"This book brings together the analytic aspects of image processing with the practicalities of applying the techniques in an industrial setting. It is excellent grounding for a machine vision researcher."
- John Billingsley, University of Southern Queensland

"The book in its previous incarnations has established its place as a unique repository of detailed analysis of important image processing and computer vision algorithms. This edition builds on these strengths and adds material to guide the reader's understanding of the latest developments in the field. The result is a comprehensive up-to-date reference text."
- Farzin Deravi, University of Kent

"This book is an essential reference for anyone developing techniques for machine vision analysis, including systems for industrial inspection, biomedical analysis, and much more. It comes from a long-term practitioner and is packed with the fundamental techniques required to build and prototype methods to test their applicability to the problem at hand."
- Majid Mirmehdi, University of Bristol

"The book contains a large number of experimental design and evaluation procedures that are of keen interest to industrial application engineers of machine vision."
- William Wee, University of Cincinnati

"Author E.R. Davies covers essential elements of the theory while addressing algorithmic and practical design constraints. In this updated edition, he divides the material into horizontal levels of a complete machine vision system. He includes coverage of 2-D and 3-D scene analysis, along with the Hough Transform, a key technique for inspection and surveillance."
- Mechanical Engineering, August 2006

Product Description
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.

As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems.

· Includes solid, accessible coverage of 2-D and 3-D scene analysis.
· Offers thorough treatment of the Hough Transform-a key technique for inspection and surveillance.
· Brings vital topics and techniques together in an integrated system design approach.
· Takes full account of the requirement for real-time processing in real applications.

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Front Cover | Copyright | Table of Contents | Excerpt | Index

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2 Reviews 5 star:  (1) 4 star:    (0) 3 star:  (1) 2 star:    (0) 1 star:    (0)           Average Customer Review 4.0 out of 5 stars (2 customer reviews)		Share your thoughts with other customers: Create your own review
Most Helpful Customer Reviews   5.0 out of 5 stars A definitive theoretical overview of image processing, 21 Mar 2007 By  Mark Graves "Dr Mark Graves" (Birmingham, UK) - See all my reviews (REAL NAME)    This book is not a hands on "cook book" for those wishing to get some simple code for a specific application. It is instead a comprehensive overview of just about every topic within the world of image processing. Upon reading through this the reader should have a firm grasp of image processing theory as well as a good understanding of the major areas of ongoing research. If someone is starting a career / PhD / Masters and needs to get a complete overview of image processing then this is the one book they need to read. Comment Comment | Permalink | Was this review helpful to you? Yes No (Report this)   0 of 1 people found the following review helpful: 3.0 out of 5 stars Readable but Academic, 7 Dec 2006 By  D. Horrell "Don" (UK) - See all my reviews (REAL NAME)    Edition 3 is a major 6 cm thick hardback tome of almost 1000 pages. It is readable but very academic, (bizarrely) written in American, not English. Instead of inventing strange notations for array operations, this book needs code examples - with some Java in there this would be a 5-star recommendation. How about setting up a web site with accompanying code - this would be quicker than publishing a new edition & would be a fantastic resource. (I'm surprised the author does not have access to a pet nerd to do this - contact me if you wish to do this on the next exition). Comment Comment | Permalink | Was this review helpful to you? Yes No (Report this) Share your thoughts with other customers: Create your own review › See all 2 customer reviews...		Ad feedback   Search Customer Reviews Only search this product's reviews

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